Here, the colors are assigned to different species of which you have three unique values : sepal_length sepal_width petal_length petal_width species species_id Take the dataset px.data.iris as an example with: fig = px.scatter_3d(df, x='sepal_length', y='sepal_width', z='petal_width', After you select your default plugins, they’ll show up at the top of the insert menu.I might be wrong here, but it sounds to me like you're actually asking for a widely used built-in feature of plotly.express where you can assign a color to subgroups of labeled data. If you find yourself reaching for the same EQ or compression plugins, you can set them as your "default" plugins under the Mixing tab of the Preferences Window (Pro Tools > Preferences). This can be particularly tedious if you routinely use the same few plugins. When it comes to mixing, it’s easy to waste time scrolling through menus trying to find a particular plugin-especially if you have a robust plugin library.
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